Research by Viswajith E S

Who is Dropping Out
of College?

Predicting student dropout risk using machine learning. Identify at-risk students early and provide targeted support before it's too late.

Start Prediction
3,539
Total Analyzed
32%
Dropout Rate
50%
On-Time Graduates
88%
Model Recall
Key Research Findings

What the Data Reveals

Based on analysis of student data from Polytechnic Institute of Portalegre, Portugal.

32%

Students Dropped Out

Another 18% graduated late. Most dropouts occur before completing their first or second semester.

5 Courses

High Risk Programs

Biofuel Production (70%), Informatics Engineering (56%), Equinculture (51%), Basic Education (45%).

Male > Female

Gender Disparity

Male students are significantly more likely to drop out than female students across all courses.